During the drone mission, even if you’re off-site, you can view site conditions in real-time and also receive alerts and operational insights. For example, you can launch one drone-in-a-box or combine multiple systems depending on the coverage requirements of each industrial site. Industrial drone-in-a-box solutions are highly-adaptable to business needs. The box acts as a landing pad, recharging station, shelter, and data hub. Without a ground-based controller or a human pilot on site, once activated, the drone gets to work – it deploys from the box autonomously, collects the right data either on-demand or pre-scheduled missions, and returns home when it’s finished.
With a drone-in-a-box solution, all you need to do to gather high-quality visual data is program a flight path or request the information you need on any computer at any location. These systems also enable site stakeholders to react quickly to incidents – gaining immediate situational awareness. Deployed on-site, a drone-in-a-box is available 24/7/365 to enable more efficient and frequent site and equipment inspections – collecting data in a consistent and persistent way, eliminating human error, and gaining actionable AI-driven insights. These solutions are growing in popularity because of their immediate on-site availability, convenience, and data collection capabilities.
#Drone station computer software#
Various formation flying methods help escort other drones to meet the desired objective with a single high-resolution first-person view (FPV) camera.
The master drone calculates the parameters using data collected at ground stations. The individual drones communicate to the ground station through a telemetry link. Compared to actual measurements, the results of tests done on a quadrotor UAV frame achieve 99 % location accuracy in a robust environment inside the exact GPS longitude and latitude block as GPS-only navigation methods. Among all the drones, the one with a significant GPS signal strength or nearer to the target is chosen as the master drone to calculate the relative angle and distance between an object and other drones considering approximate Geo-location.
We calculate the parameters like distance and angle from the image center to the object for the individual drones. The method gives freedom of selection to a user to track any target from the image and form a formation around it. It is required to keep the target visible and line of sight during the tracking. The proposed method tracks any object without considering its properties like shape, color, size, or pattern. This paper presents a unique collaborative computer vision-based approach for target tracking as per the image’s specific location of interest. Autonomous unmanned aerial vehicles work seamlessly within the GPS signal range, but their performance deteriorates in GPS-denied regions.
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